Investment Egg Basket |
Scenario #1: Your money is invested entirely in Company A
which has a 10% chance of going out of business for various reasons. This means you have a 10% chance of losing your
entire nest egg.
Scenario #2: You
split your investment portfolio evenly across Companies A and B. Both firms are in unrelated segments like
transportation and health care in which case the probability of either entity going under is independent of the other doing likewise.
The probability of Company A going out of business remains 10% as in the first scenario. The probability of Company B going
belly up is also 10%. What now is the
probability of completely losing your shirt because both companies tank at the
same time? The companies are in
unrelated industries in which case the probability of one going out of business
is independent of the probability of the other going out of business. The probability of two unrelated events
happening simultaneously is determined by multiplying the probably of A times
the probability of B:
Probability A (10% ) x Probability B (10%) or .10 x .10 =
.01 or 1%.
By spreading your investment pool from one company to two
companies in divergent industries you’ve reduced your risk of losing everything from 10% to 1%.
Scenario #3: You
think to yourself that if investing in 2 companies reduces risk, then investing in 3
companies has to be better still. (It
is, to a very small degree.) Therefore
you spread your wealth across three companies (A, B, C) each with an independent
probability of going out of business of 10% because they are all in unrelated
industries. Now the risk of losing your
life savings is calculated by multiplying the risk of A x B x C shown here:
Probability A (10%) x Probability B (10%) x Probability C
(10%) or .10 x .10 x .10 = .001 or one-tenth of one percent.
By spreading your investment pool from two companies to
three you’ve reduced your risk by nine-tenths of one percent. The risk reduction generated isn’t large but the
added workload in monitoring the third firm is, relatively speaking.
Carry this math across 15 or 20 firms and you’ll see the
risk reduction becomes excruciatingly small while the management workload
increases greatly in proportion.
The math means that an index fund with hundreds or thousands
of companies held within it produces no meaningful risk below that of a small,
selective portfolio of quality companies as far as I’m concerned. It does, however, generate a lot of extra
work OR management fees for the index mutual fund. Brokers and money managers like that
fact. It works to their advantage when
millions of investors aren’t paying attention.
Investopedia
does a nice job summarizing investment risk. Systemic or market risk which
can’t be diversified away (think inflation) and unsystemic risk which is
germane to a specific company. The
unsystemic risk is what diversification is designed to mitigate. As you can see from the examples above, the law of diminishing
returns is prominent rendering moot the advantage of holding hundreds or
thousands of firms in a single fund and paying a fee for the privilege of doing
so.
Andrew Carnegie once said “The way to become rich is to put
all your eggs into one basked and then watch that basket.” I’m not comfortable with that advice nor am I
comfortable with the current wisdom endorsing investors to put a little money
into every basket and watching none of it.
Let the pros watch it for you – for a fee. With a little work and a few tools, it’s
possible you can cultivate
good ground somewhere in between. You
can concentrate on solid, dividend paying companies in a diversified portfolio
of 20 to 30 holdings, maybe fewer, avoid annual fees, and succeed. It’s worth investigating, right?
The thoughts and opinions expressed
here are those of the author, who is not a financial professional, and therefore
should not be considered as investment advice.
This information is presented for education and entertainment purposes
only. For specific investment advice or
assistance, please contact a registered investment advisor, licensed broker, or
other financial professional.
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